arXiv Statistics @arxiv_stats@qoto.org

Consistent Density Estimation Under Discrete Mixture Models. (arXiv:2105.01108v1 [cs.IT]) http://arxiv.org/abs/2105.01108

Combining Broad and Narrow Case Definitions in Matched Case-Control Studies. (arXiv:2105.01124v1 [stat.ME]) http://arxiv.org/abs/2105.01124

Learning Good State and Action Representations via Tensor Decomposition. (arXiv:2105.01136v1 [stat.ML]) http://arxiv.org/abs/2105.01136

Modeling Social Readers: Novel Tools for Addressing Reception from Online Book Reviews. (arXiv:2105.01150v1 [cs.CL]) http://arxiv.org/abs/2105.01150

What can the millions of random treatments in nonexperimental data reveal about causes?. (arXiv:2105.01152v1 [stat.ME]) http://arxiv.org/abs/2105.01152

Efficient Integration of Aggregate Data and Individual Patient Data in One-Way Mixed Models. (arXiv:2105.01157v1 [stat.ME]) http://arxiv.org/abs/2105.01157

Reconciling design-based and model-based causal inferences for split-plot experiments. (arXiv:2105.01184v1 [stat.ME]) http://arxiv.org/abs/2105.01184

Effective temperatures for single particle system under dichotomous noise. (arXiv:2105.01185v1 [cond-mat.stat-mech]) http://arxiv.org/abs/2105.01185

Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding. (arXiv:2105.01187v1 [stat.ME]) http://arxiv.org/abs/2105.01187

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder. (arXiv:2105.00026v1 [stat.ML]) http://arxiv.org/abs/2105.00026

Generalizing the normality: a novel towards different estimation methods for skewed information. (arXiv:2105.00031v1 [stat.ME]) http://arxiv.org/abs/2105.00031

Estimation and Selection Properties of the LAD Fused Lasso Signal Approximator. (arXiv:2105.00045v1 [stat.ME]) http://arxiv.org/abs/2105.00045

Limit Distributions and Sensitivity Analysis for Entropic Optimal Transport on Countable Spaces. (arXiv:2105.00049v1 [math.PR]) http://arxiv.org/abs/2105.00049

Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks. (arXiv:2105.00191v1 [cs.LG]) http://arxiv.org/abs/2105.00191

Autoregressive Hidden Markov Models with partial knowledge on latent space applied to aero-engines prognostics. (arXiv:2105.00211v1 [stat.ML]) http://arxiv.org/abs/2105.00211

Approximations and asymptotics of continuous-time locally stationary processes. (arXiv:2105.00223v1 [math.PR]) http://arxiv.org/abs/2105.00223

Bayesian Inference of a Dependent Competing Risk Data. (arXiv:2105.00224v1 [stat.ME]) http://arxiv.org/abs/2105.00224

Application of Deep Convolutional Neural Networks for automated and rapid identification and characterization of thin cracks in SHCCs. (arXiv:2105.00230v1 [eess.IV]) http://arxiv.org/abs/2105.00230

Normalization of regressor excitation as a part of dynamic regressor extension and mixing procedure. (arXiv:2105.00231v1 [stat.ME]) http://arxiv.org/abs/2105.00231

Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses. (arXiv:2104.14562v1 [stat.ML]) http://arxiv.org/abs/2104.14562